AI Integrations Engineer - Remote & SDKs Focused

Zyte; United States; Remote; USD 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

35 days paid holidays

Zusammenfassung

Zyte is hiring an Integrations Engineer to help build and publish integrations that connect Zyte with coding-agent environments like Claude Code, Codex and Cursor. You will design and release the Zyte CLI, publish packages to PyPI/npm, and maintain SDKs and tools for LangChain and other frameworks.

You will also deliver data-delivery connectors into customer cloud/data platforms (AWS, Google Cloud Storage, BigQuery, Snowflake) and evaluate new platforms like Make and Zapier.

Qualifikationen

• Proven experience publishing packages for external developers.
• Hands-on experience building SDKs, CLIs, or plugins.
• Strong Python and JavaScript/TypeScript skills.
• Experience with open-source projects is a plus.

Aufgaben

• Build and publish integrations that bring Zyte into coding-agent environments (Claude Code, Codex, Cursor, Docker).
• Design, build and release the Zyte CLI as a shared base for integrations, published to PyPI and npm.
• Maintain packages and tools for developer frameworks and agent SDKs (e.g. LangChain, LlamaIndex) and for browser automation tools.
• Deliver data delivery integrations into customer cloud/data platforms (AWS, GCS, BigQuery, Snowflake).
• Assess app/automation platforms (Dify, Flowise, Make, Zapier, Lovable, Replit).
• Write clear setup guides, examples and docs for docs.zyte.com and public repos.

Kenntnisse

Python

TypeScript/Node.js

SDKs / libraries

Open source

Tools

PyPI

npm

CLI tooling

Docs writing

Jobbeschreibung

Zyte is hiring an Integrations Engineer to help build and publish integrations that connect Zyte with coding-agent environments like Claude Code, Codex and Cursor. You will design and release the Zyte CLI, publish packages to PyPI/npm, and maintain SDKs and tools for LangChain and other frameworks.

You will also deliver data-delivery connectors into customer cloud/data platforms (AWS, Google Cloud Storage, BigQuery, Snowflake) and evaluate new platforms like Make and Zapier.